6 results about "Third-party source" patented technology

Techniques are described for providing a software-based platform for context-based vulnerability management of information technology (IT) environments. In some examples, a vulnerability management application collects vulnerability scan data, from potentially many different scanning agents, as well as vulnerability information from other third-party sources. The vulnerability management application also accesses asset and activity data associated with an IT environment. The vulnerability management application can provide a user interface contextualizing vulnerabilities, based on the contextual asset or activity data, allowing for user-configured or automated vulnerability risk adjustments to impact the management and remediation of vulnerabilities for the IT environment.

Systems and methods for P2P transaction functionality include payment collection from a third party source. A system includes at least one processor and a storage medium storing instructions that, when executed by the one or more processors, cause the at least one processor to perform operations including receiving transaction information from a vendor where a card was used and analyzing the transaction information. The operations also include sending one or more requests for repayment to one or more P2P service systems, receiving repayment information, regarding one or more repayments, from the one or more P2P service systems and, based on the repayment information, applying the one or more repayments to the transaction performed on the card.

Healthcare appointment information system and method enabling a patient to manage multiple accounts with third party sources through a single account. A user account is created for storing individual user healthcare data such as user preferences (e.g., Monday morning appointments or willingness to be placed on waiting lists), user names and passwords (for accessing third-party sources), contact information (phone, email, text), insurance plans, gender, age, medications, existing appointments and other healthcare information enabling the system to book an appointment on behalf of the patient on one or more availability sources. In addition to booking on the patient's behalf, the account information also enables patient communications with the various sources to be conducted through the system.

Systems and methods include establishing, by one or more processors of a first computing system, a connection between the first computing system and an application hosted on one or more servers of a second computing system, retrieving, by the one or more processors, a dataset comprising a list of entities from a data store maintained by the application, the list of entities associated with an account holder of an account with the application, detecting, by the one or more processors, an event associated with an entity of the list of entities, based on data from a third-party server, and generating, by the one or more processors, an alert corresponding to the event for rendering at a user interface corresponding to the first computing system.

Healthcare appointment information system and method enabling a patient to manage multiple accounts with third party sources through a single account. A user account is created for storing individual user healthcare data such as user preferences (e.g., Monday morning appointments or willingness to be placed on waiting lists), user names and passwords (for accessing third-party sources), contact information (phone, email, text), insurance plans, gender, age, medications, existing appointments and other healthcare information enabling the system to book an appointment on behalf of the patient on one or more availability sources. In addition to booking on the patient's behalf, the account information also enables patient communications with the various sources to be conducted through the system.

A computer-implemented system for evaluating public response of a subject matter, including individuals, entities, events, policies, products, places, ideas, or other evaluable subject. The system collects and verifies data from third party sources, such as social media, news sites, etc. The system identifies deeds of the evaluable subject and corresponding public responses using natural language processing, rules-based logic, sentiment analysis, data modeling, etc. The public responses are weighted, e.g., based on credibility, sentiment time-decay functions, or other factors, to generate a public response score.